Fast human body measurement based on a single kinect
Human body measurements are important information in many industries such as clothing, entertainment and healthcare. The development of commodity depth camera, especially Microsoft Kinect has paved a new way for human body measurement. The existing Kinect based body measurement methods are too time-...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2014
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| Online Access: | http://hdl.handle.net/10356/58974 |
| _version_ | 1826129046270902272 |
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| author | Dao, Nguyen Luc |
| author2 | Cai Jianfei |
| author_facet | Cai Jianfei Dao, Nguyen Luc |
| author_sort | Dao, Nguyen Luc |
| collection | NTU |
| description | Human body measurements are important information in many industries such as clothing, entertainment and healthcare. The development of commodity depth camera, especially Microsoft Kinect has paved a new way for human body measurement. The existing Kinect based body measurement methods are too time-consuming since their purposes also include 3D reconstruction. In this report, we present a Kinect-based simple but fast and effective solution that is tailored only for human body measurement. In particular, our method captures four views of a subject’s body and constructs a 3D point cloud for each view. The point clouds are then registered and merged to have a full body cloud. Three cloud based measurement methods are proposed including interactive circular measurement, interactive straight measurement and automatic circular measurement. To conduct the experiments, we implemented an application following our proposed method. The experimental results show that our method requires much shorter execution time than the previous works while still producing measurements with comparable quality. |
| first_indexed | 2024-10-01T07:34:21Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/58974 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:34:21Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/589742023-03-03T20:31:55Z Fast human body measurement based on a single kinect Dao, Nguyen Luc Cai Jianfei School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Human body measurements are important information in many industries such as clothing, entertainment and healthcare. The development of commodity depth camera, especially Microsoft Kinect has paved a new way for human body measurement. The existing Kinect based body measurement methods are too time-consuming since their purposes also include 3D reconstruction. In this report, we present a Kinect-based simple but fast and effective solution that is tailored only for human body measurement. In particular, our method captures four views of a subject’s body and constructs a 3D point cloud for each view. The point clouds are then registered and merged to have a full body cloud. Three cloud based measurement methods are proposed including interactive circular measurement, interactive straight measurement and automatic circular measurement. To conduct the experiments, we implemented an application following our proposed method. The experimental results show that our method requires much shorter execution time than the previous works while still producing measurements with comparable quality. Bachelor of Engineering (Computer Science) 2014-04-17T07:37:19Z 2014-04-17T07:37:19Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/58974 en Nanyang Technological University 56 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Dao, Nguyen Luc Fast human body measurement based on a single kinect |
| title | Fast human body measurement based on a single kinect |
| title_full | Fast human body measurement based on a single kinect |
| title_fullStr | Fast human body measurement based on a single kinect |
| title_full_unstemmed | Fast human body measurement based on a single kinect |
| title_short | Fast human body measurement based on a single kinect |
| title_sort | fast human body measurement based on a single kinect |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
| url | http://hdl.handle.net/10356/58974 |
| work_keys_str_mv | AT daonguyenluc fasthumanbodymeasurementbasedonasinglekinect |